Data Analytics Specialist: Predictive Insights (Contract)

PPOAR; Kolding; On-site; DKK 112,000 - 134,000; Full time

Job summary

PPOAR in Kolding, Denmark is seeking a Data Analytics Specialist to join our team. You will collect, analyze, and interpret large datasets to provide insights and recommendations to improve business performance.

Your role includes creating data visualizations, conducting statistical analyses, and developing predictive models. You will work with stakeholders across functions and communicate findings clearly to drive informed decisions.

Qualifications

• Bachelor's or Master's degree in Data Analytics or related field.
• Minimum of 2 years experience in data analysis or related role.
• Expertise in SQL Python R or other programming languages used for data analysis.
• Familiarity with data visualization tools such as Tableau or PowerBI.
• Strong analytical skills with the ability to interpret complex datasets.
• Excellent communication skills with the ability to present findings in a clear and concise manner.

Responsibilities

• Collecting and organizing large datasets from various sources.
• Analyzing data using statistical methods and data mining techniques.
• Creating visualizations and dashboards to present insights.
• Developing predictive models to forecast trends and make recommendations.
• Collaborating with cross-functional teams to understand business needs.
• Communicating findings and recommendations to stakeholders in a clear manner.

Skills

SQL

Python

R

Education

Bachelor's or Master's degree in Data Analytics or related field

Tools

Tableau

PowerBI

Job description

PPOAR in Kolding, Denmark is seeking a Data Analytics Specialist to join our team. You will collect, analyze, and interpret large datasets to provide insights and recommendations to improve business performance.

Your role includes creating data visualizations, conducting statistical analyses, and developing predictive models. You will work with stakeholders across functions and communicate findings clearly to drive informed decisions.